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Keynote Speakers


Prof. Dr. Patrick Wang, Northeastern University, Boston, ECNU, Shanghai and NTUST, Taipei

Speech Title: Intelligent Forensics, Big Data and Applications --- Security, Safer Transportation and Greener World

Patrick S. P. Wang, Fellow of IAPR, ISIBM and WASE, and IETI Distinguished Fellow, has been tenured full professor of Computer and Information Science at Northeastern University, USA, Shanghai East China Normal University Zi- Jiang Visiting Chair Professor, research consultant at MIT Sloan School, and adjunct faculty of computer science at Harvard University. He received PhD in C.S. from Oregon State University, M.S. in I.C.S. from Georgia Institute of Technology, M.S.E.E. from National Taiwan University and B.S.E.E. from National Chiao Tung University (Hsin-Chu campus, Taiwan). As IEEE and ISIBM Distinguished Achievement Awardee, Dr. Wang was on the faculty at University of Oregon and Boston University, and senior researcher at Southern Bell, GTE Labs and Wang Labs prior to his present position. Dr. Wang was Otto-Von-Guericke Distinguished Guest Professor of Magdeburg University, Germany, and iCORE (Informatics Circle of Research Excellence) visiting professor of University of Calgary, Canada, Honorary Advisor Professor for China’s Sichuan University, Xiamen University, and Guangxi Normal University, Guilin, Guangxi. In addition to his research experience at MIT AI Lab, Dr. Wang has been visiting professor and invited to give lectures, do research and present papers in a number of countries from Europe, Asia and many universities and industries in the U.S.A. and Canada. Dr. Wang has published over 200 technical papers and 26 books in Pattern Recognition, A.I. and Imaging Technologies and has 3 OCR patents by US and Europe Patent Bureaus. One of his books is so important and widely cited that USA Department of Homeland Security (DHS) use it as reference for Call For Proposals 2010:Image Pattern Recognition – Synthesis and Analysis of Biometrics (WSP) : Dr. Wang has organized numerous international conferences and workshops including conference co-chair of the 18th IAPR ICPR (International Conference on Pattern Recognition) in 2006, Hong Kong, China, and served as reviewer for many journals and NSF grant proposals. He is founding Editor-in-Chief of IJPRAI (Pattern Recognition and A.I.), Machine Perception and Artificial Intelligence Book Series by World Scientific Pub. Co. and Imperial College Press, London, UK, and elected chair of IAPR-SSPR (Int. Assoc. for P.R.). Dr. Wang has been Invited to give keynote speech in many international Conferences, including ICGIP2016, Tokyo, UKSim2015, London, WSCS2014, U.C. Berkeley(,UKSim2014, Cambridge, UK, MLDM2013, Berlin, ISDS2012, Rome, ICCIS2011, San-Ya, China, IEEE-SMC2007, 2009, 2010, Montreal, San Antonio, Istanbul, respectively, eForensics2008, Adelaide, Australia, ISI2008, Taipei, Taiwan, and BroadCom2008, Pretoria, South Africa, and AIA2007, Innsbruck, Austria. In addition to his technical achievements and contributions, Prof. Wang has been also very active in community services, and has written several articles on Du Fu, Li Bai’s poems, Verdi, Puccini, Bizet, and Wagner’s operas, and Mozart, Beethoven, Schubert and Tchaikovsky’s symphonies. Some collections of selected proses were published in his books “劍橋狂想曲” by 文史哲 and “Harvard Meditation Melody”(哈佛冥想曲) by 九歌 健行 Jian-Shing Pub. Co, Taipei, Taiwan, which won best publication award by Taiwan Provincial Government. Dr. Wang has been member of several choirs, including NTU, MIT-CCCS, NACA and BEHC (Boston Eastern Heritage Chorus), and Ping-Pong club.


Prof. Dr. Yiu-ming CHEUNG, Department of Computer Science, Hong Kong Baptist University, Hong Kong
Yiu-ming Cheung is a Full Professor of Department of Computer Science at Hong Kong Baptist University (HKBU), Hong Kong. He received PhD degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000, and then joined the Department of Computer Science at HKBU in 2001. He is currently the Associate Programme Director of MSc in Advanced Information Systems, and the Associate Director of Institute of Computational and Theoretical Studies in HKBU. He is an IET / IEE Fellow and BCS Fellow, and the “Chu Tian Scholars (楚天學者)” in China. His research interests include Computational Intelligence, Statistical Learning, Intelligent Visual Computing, Pattern Recognition, Data Mining, and Watermarking. He is the Founding Chairman of IEEE (Hong Kong) Computational Intelligence Chapter and the current Vice Chair of Technical Committee on Intelligent Informatics (TCII) of IEEE Computer Society. He has served in various capacities (e.g., Organizing Committee Chair, Program Committee Chair, Financial Chair, etc.) at several top-tier international conferences, including IEEE-sponsored WCCI’2016, ICDM2006, WI-IAT2006 & 2012. Currently, he is the Associate Editor of several prestigious journals, including IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Knowledge and Information Systems (KAIS), and International Journal of Pattern Recognition and Artificial Intelligence, as well as the Guest Co-editor in several international journals.


Prof. Dr. Yuping Wang, School of Computer Science and Technology, Xidian University, Xi'an
Yuping Wang received the Ph.D. degree from the School of Science, Xi’an Jiaotong University, Shaanxi, China. Currently, he is a Full Professor with School of Computer Science and Technology, Xidian University, Xi’an, China, Senior Member of IEEE, and Vice Chairman of Economic Mathematics and Management Mathematics Society of China. His research interests include evolutionary computation, data mining, and optimization. He has published over 100 journal papers of which some papers were published in famous journals including IEEE Transactions on Evolutionary Computation and IEEE Transactions on Systems, Man, and Cybernetics-A. He is the Guest Coeditor and editorial board member of several international journals.


Prof. Dr. Ismail Rakip Karas, Computer Engineering Department, Faculty of Engineering, Karabuk University, Turkey

Speech Title: Network Analyses for Indoor Based on User Centric Intelligent Evacuation System

Dr Ismail Rakip Karas is an Assoc Professor of Computer Engineering Department at Karabuk University, Turkey. He received his BSc degree from Selcuk University, MSc degree from Gebze Institute of Technology, and PhD degree from GIS/RS program of Yildiz Technical University, in 1997, 2001 and 2007 respectively, three of them from Geomatics Engineering Department. In 2002, he involved in a GIS project as a Graduate Student Intern at Forest Engineering Department, Oregon State University, USA. During the summer of 2014, and summer of 2010 he was a Visiting Researcher in 3D GIS Research Lab, Faculty of Geoinformation Science and Engineering, Universiti Teknologi Malaysia. Between 2000-2009, he was a Research Assistant at Geomatics Engineering Department of Gebze Institute of Technology. Since 2009, he has been in Karabuk University and taught undergraduate and graduate classes in Geoinformation and Computer Sciences. He has also been carrying out as Head of Computer Science Division of Department and Director of Safranbolu Vocational School of Karabuk University. Dr. Ismail Rakip Karas is the author of many international and Turkish publications and papers on various areas of Geoinformation Science. He is in the editorial board of International Geoinformatics Research and Development Journal, American Journal of Geographic Information System, and some others. Also reviewer of some international journals such as Sensors, Turkish Journal of Electrical Engineering & Computer Sciences, and International Journal of Environmental Research. He is also committee member of some of conferences such as “Int’l Conference on Digital Image Processing” and “3D GeoInformation Conference”. He has involved in several projects and been supervisor and examiner of many Msc and PhD students. His research interests include Geographic Information Systems, 3D GIS, 2D and 3D Network Analyses on GIS, Software Development for GIS, Web based GIS, Geo-Databases, Computer Graphics, Computational Geometry, Digital Image Processing, and Graph Theory. More information is available at